We are seeking a Computational Chemist to help shape the future of battery technology and contribute to a more sustainable world. You will generate mechanistic insight into liquid lithium-ion electrolytes and their interactions with 100% silicon anodes, and develop and deploy atomistic simulation frameworks to accelerate electrolyte development and reduce experimental iteration cycles.
Requirements
- PhD (preferred) or Master's degree in Computational Chemistry, Computational Materials Science, Physics, Chemical Engineering, or a related field
- Strong hands-on experience with atomistic simulation methods (DFT and molecular dynamics)
- At least 2 years of industry experience applying computational methods to practical materials or chemical problems
- Strong Python programming skills, including scripting, data analysis, and workflow automation
- Demonstrated ability to extract physically meaningful descriptors from simulation data and link them to experimental behavior
- Experience with reproducible workflows and version control systems (e.g., Git)
- Comfortable working independently in a fast-paced and agile startup environment
- Clear communicator who can explain modeling choices, assumptions, and uncertainty to experimental and leadership audiences
- Strong ownership mindset and pragmatic problem-solving approach
- Fluent in English
Benefits
- Pension & Insurance Security
- Recharge & Refresh
- Travel Made Easy
- Continuous Learning
- Diverse, Inclusive & Equal
- Community & Connection